Akshay 🚀(@akshay_pachaar):As an AI Engineer. Please learn: - Harness engineering, not just prompt engineering - Prompt caching vs. semantic caching tradeoffs - KV cache management at scale - Speculative decoding vs quantization - Structured output failures & fallback chains - Evals (LLM-as-judge + human evals) - Cost attribution per feature, not just per model - Agent guardrails & loop budgets - LLM observability as a first-class discipline - Model routing & graceful fallback logic - Knowing when to fine-tune vs. in-context learning

2026.05.11 12:32

As an AI Engineer. Please learn: - Harness engineering, not just prompt engineering - Prompt caching vs. semantic caching tradeoffs - KV cache management at scale - Speculative decoding vs quantization - Structured output failures & fallback chains - Evals (LLM-as-judge + human evals) - Cost attribution per feature, not just per model - Agent guardrails & loop budgets - LLM observability as a first-class discipline - Model routing & graceful fallback logic - Knowing when to fine-tune vs. in-context learning

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